Flask Dashboard Black is an open-source seed project generated by AppSeed on top of a modern dark-themed UI. Black Dashboard is a beautiful Bootstrap 4 Admin Dashboard with a huge number of components built to fit together and look amazing. It combines colors that are easy on the eye, spacious cards, beautiful typography, and graphics. For newcomers, Flask is a lightweight web application framework written in Python that provides a lightweight codebase and libraries that can be easily extended to complex projects.
Features
Up-to-date dependencies
: Flask 2.0.1- SCSS compilation via Gulp
- UI: Black Dashboard v1.0.1 provided by Creative-Tim
DBMS
: SQLite, PostgreSQL (production)DB Tools
: SQLAlchemy ORM, Flask-Migrate (schema migrations)- Session-Based authentication (via flask_login), Forms validation
Deployment
: Docker, Gunicorn / Nginx, HEROKU- Support via Github (issues tracker) and Discord.
Links
- 👉 Flask Dashboard Black - product page
- 👉 Flask Dashboard Black - LIVE deployment
Get the code
$ git clone https://github.com/app-generator/flask-black-dashboard.git
$ cd flask-black-dashboard
Start the app in Docker
$ docker-compose up --build
Visit http://localhost:85
in your browser. The app should be up & running.
$ # Get the code
$ git clone https://github.com/app-generator/flask-black-dashboard.git
$ cd flask-black-dashboard
$
$ # Virtualenv modules installation (Unix based systems)
$ virtualenv env
$ source env/bin/activate
$
$ # Virtualenv modules installation (Windows based systems)
$ # virtualenv env
$ # .\env\Scripts\activate
$
$ # Install modules - SQLite Database
$ pip3 install -r requirements.txt
$
$ # OR with PostgreSQL connector
$ # pip install -r requirements-pgsql.txt
$
$ # Set the FLASK_APP environment variable
$ (Unix/Mac) export FLASK_APP=run.py
$ (Windows) set FLASK_APP=run.py
$ (Powershell) $env:FLASK_APP = ".\run.py"
$
$ # Set up the DEBUG environment
$ # (Unix/Mac) export FLASK_ENV=development
$ # (Windows) set FLASK_ENV=development
$ # (Powershell) $env:FLASK_ENV = "development"
$
$ # Start the application (development mode)
$ # --host=0.0.0.0 - expose the app on all network interfaces (default 127.0.0.1)
$ # --port=5000 - specify the app port (default 5000)
$ flask run --host=0.0.0.0 --port=5000
$
$ # Access the dashboard in browser: http://127.0.0.1:5000/
Note: To use the app, please access the registration page and create a new user. After authentication, the app will unlock the private pages.
The project is coded using blueprints, app factory pattern, dual configuration profile (development and production) and an intuitive structure presented bellow:
< PROJECT ROOT >
|
|-- apps/
| |
| |-- home/ # A simple app that serve HTML files
| | |-- routes.py # Define app routes
| |
| |-- authentication/ # Handles auth routes (login and register)
| | |-- routes.py # Define authentication routes
| | |-- models.py # Defines models
| | |-- forms.py # Define auth forms (login and register)
| |
| |-- static/
| | |-- <css, JS, images> # CSS files, Javascripts files
| |
| |-- templates/ # Templates used to render pages
| | |-- includes/ # HTML chunks and components
| | | |-- navigation.html # Top menu component
| | | |-- sidebar.html # Sidebar component
| | | |-- footer.html # App Footer
| | | |-- scripts.html # Scripts common to all pages
| | |
| | |-- layouts/ # Master pages
| | | |-- base-fullscreen.html # Used by Authentication pages
| | | |-- base.html # Used by common pages
| | |
| | |-- accounts/ # Authentication pages
| | | |-- login.html # Login page
| | | |-- register.html # Register page
| | |
| | |-- home/ # UI Kit Pages
| | |-- index.html # Index page
| | |-- 404-page.html # 404 page
| | |-- *.html # All other pages
| |
| config.py # Set up the app
| __init__.py # Initialize the app
|
|-- requirements.txt # Development modules - SQLite storage
|-- requirements-mysql.txt # Production modules - Mysql DMBS
|-- requirements-pqsql.txt # Production modules - PostgreSql DMBS
|
|-- Dockerfile # Deployment
|-- docker-compose.yml # Deployment
|-- gunicorn-cfg.py # Deployment
|-- nginx # Deployment
| |-- appseed-app.conf # Deployment
|
|-- .env # Inject Configuration via Environment
|-- run.py # Start the app - WSGI gateway
|
|-- ************************************************************************
The bootstrap flow
run.py
loads the.env
file- Initialize the app using the specified profile: Debug or Production
- If env.DEBUG is set to True the SQLite storage is used
- If env.DEBUG is set to False the specified DB driver is used (MySql, PostgreSQL)
- Call the app factory method
create_app
defined in app/init.py - Redirect the guest users to Login page
- Unlock the pages served by home blueprint for authenticated users
To recompile SCSS files, follow this setup:
Step #1 - Install tools
Step #2 - Change the working directory to assets
folder
$ cd apps/static/assets
Step #3 - Install modules (this will create a classic node_modules
directory)
$ npm install
// OR
$ yarn
Step #4 - Edit & Recompile SCSS files
$ gulp scss
The generated file is saved in static/assets/css
directory.
The app is provided with a basic configuration to be executed in Docker, Heroku, Gunicorn, and Waitress.
Steps to deploy on Heroku
- Create a FREE account on Heroku platform
- Install the Heroku CLI that match your OS: Mac, Unix or Windows
- Open a terminal window and authenticate via
heroku login
command - Clone the sources and push the project for LIVE deployment
$ # Clone the source code:
$ git clone https://github.com/app-generator/flask-black-dashboard.git
$ cd flask-black-dashboard
$
$ # Check Heroku CLI is installed
$ heroku -v
heroku/7.25.0 win32-x64 node-v12.13.0 # <-- All good
$
$ # Check Heroku CLI is installed
$ heroku login
$ # this commaond will open a browser window - click the login button (in browser)
$
$ # Create the Heroku project
$ heroku create
$
$ # Trigger the LIVE deploy
$ git push heroku master
$
$ # Open the LIVE app in browser
$ heroku open
Gunicorn 'Green Unicorn' is a Python WSGI HTTP Server for UNIX.
Install using pip
$ pip install gunicorn
Start the app using gunicorn binary
$ gunicorn --bind 0.0.0.0:8001 run:app
Serving on http://localhost:8001
Visit http://localhost:8001
in your browser. The app should be up & running.
Waitress (Gunicorn equivalent for Windows) is meant to be a production-quality pure-Python WSGI server with very acceptable performance. It has no dependencies except ones that live in the Python standard library.
Install using pip
$ pip install waitress
Start the app using waitress-serve
$ waitress-serve --port=8001 run:app
Serving on http://localhost:8001
Visit http://localhost:8001
in your browser. The app should be up & running.
- Flask Framework - The offcial website
- Boilerplate Code - Index provided by AppSeed
- Flask Dashboard Black - related blog article
Flask Black Dashboard - Provided by AppSeed App Generator.